Title :
N-to-SRGB Mapping for Single-Sensor Multispectral Imaging
Author :
Yusuke Monno;Masayuki Tanaka;Masatoshi Okutomi
Author_Institution :
Dept. of Mech. &
Abstract :
Visualization of a multispectral image in a standard color space, typically the sRGB space, is an important task for human color perception. When we reproduce the sRGB image from the multispectral image with N spectral bands, an N-to-sRGB mapping is required. The challenge of the N-to-sRGB mapping in single-sensor multispectral imaging with a multispectral filter array (MSFA) is to reduce demosaicking error amplification and propagation across different spectral bands, which are not trivial because of very sparse sampling of multiple spectral bands in a single image sensor. In this paper, we propose a novel N-to-sRGB mapping pipeline for effectively suppressing the demosaicking error amplification and propagation. Our idea is to apply guided filtering in the mapped sRGB space using one of input N band images before the amplification and propagation as a guide image. Experimental results demonstrate that our proposed pipeline improves the mapping accuracy for various MSFA types.
Keywords :
"Xenon","Image color analysis","Pipelines","Visualization","Standards","Multispectral imaging","Sensor arrays"
Conference_Titel :
Computer Vision Workshop (ICCVW), 2015 IEEE International Conference on
DOI :
10.1109/ICCVW.2015.18